In this paper we present the novel technique for detection of breast boundary (also known as Breast contour, breast edge, skin-air interface or also called skin-line). Breast boundary extraction is an important preprocessing step in Computer Assisted Diagnosis (CAD) systems. The Breast boundary region detection is a tough task because low contrast region near skin line(boundary). The proposed m...

In this paper, we were introduces a skin detection method using a histogram approximation based on the mean shift algorithm. The proposed method applies the mean shift procedure to a histogram of a skin map of the input image, generated by comparison with standard skin colors in the CbCr color space, and divides the background from the skin region by selecting the maximum value according to bri...

In this paper we examine the performance, on a large and heterogeneous image database, of various skin detectors based on explicit colour skin cluster definition, coupled with a cast remover to see whether, and to what degree, the effectiveness of classification is improved, regardless of the strategy adopted. We also evaluate the hypothesis that a combination of some of the skin detection algo...

Face detection is a very challenging and interesting problem. In this paper, a new scheme for detection of multiple faces using Haar wavelet packet decomposition based on quantized skin color region merging under unconstrained scene conditions is presented. Color clustering and filtering using approximations of the YCbCr and HSV skin color subspaces are applied on the original image by providin...

The human capacity for vibrotactile frequency discrimination has been compared directly for glabrous and hairy skin regions by means of a two-alternative, forced-choice psychophysical procedure in five subjects. Sinusoidal vibratory stimuli, delivered by means of a 4-mm-diam probe, were first used to obtain detection threshold values for the two skin sites, the finger tip and the dorsal forearm...

Face detection is one of the challenging problems in image processing. A novel face detection system is presented in this paper. The system combines two algorithms for face detection to achieve better detection rates. The two algorithms are skin detection and neural networks. In the first module of the system a skin color model based on normalized RGB color space is built and used to detect ski...

E arly detection of skin cancer is known to decrease risk of mortality and improve overall outcome. Unfortunately, for many people the warning signs of skin cancer are unknown, and the cancer can progress to more aggressive stages before treatment is sought. Training individuals who are easily accessible, approachable, and are part of peoples’ normal routine, such as salon hairstylists, to reco...

The paper presents a gesture recognition system for human-computer communication. The system is based on static gesture detection using a hybrid approach for skin detection, seed markers watershed segmentation and morphological operations, palm centre allocation by a combination of minimal covering circle centre and palm convexity defect points and classification of gestures using decision tree...